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Question: Describe the relationships (identify the business rules) depicted in the Crow's Foot ERD shown in Figure.
Find the support for itemsets {Diapers}, {Eggs, Butter}, and {Eggs, Butter, Diapers} by treating each transaction (TID) as a market basket.
Discuss k-nearest Neighbor (KNN) learning algorithm. What is the significance of the value of k in k-NN. Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier.
Explain how linked data can be used in semantic web applications and give suggestions forhow linked data might be used with the representations you have created
In this project, you will use a database to answer questions about scholarships awarded to students at a college. You will create a relationship between two tables, create a query from an existing query, and create queries using text, numeric, com..
Database Modeling and Normalization
What about giving same name to attributes which are in different tables but are not same? For instance, "Description" in both a Course table and a Classroom table.
What is a join command? In addition, How can you combine two tables/views together? For instance one table contains 100 rows and the other one contains 200 rows, have exactly the same fields and you want to show a query with all data (300 rows).
Describe how you would implement relationship between employees and projects in each of the given scenarios: Many employees can work on given project, but each employee can work on only single project.
Draw the ER diagram for the database described above and create a relational database schema for this model assuming
You are the first-level help desk technician at a medium-sized company. Your job is to handle the initial calls from company computer users with personal computer related problems.
What is the difference Data-mining and Data Warehouses? How does data mining works? What technological infrastructure is required? Design a star schema for this problem with database modeling tool (Xcase).
Write SQL queries to compute the average rating, using AVG; the sum of the ratings, using SUM; and the number of ratings, using COUNT.
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